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Assessing the Cultural Fit of a Digital Sleep Intervention for Refugees in Germany: Qualitative Study

Assessing the Cultural Fit of a Digital Sleep Intervention for Refugees in Germany: Qualitative Study

Frequency analyses of positive and negative feedback given by the refugees from (A) Ukraine and (B) other countries of origin participating in the qualitative study in Germany. The numbers of positive and negative feedback are illustrated separately for the adapted version and the nonadapted version of the digital intervention Sleep-e tested in the study. oth: other countries of origin; ukr: Ukraine. You can take a lot from it also. And you can learn easily also. To have the training..., it’s much easier.

Maja Blomenkamp, Andrea Kiesel, Harald Baumeister, Dirk Lehr, Josef Unterrainer, Lasse B Sander, Kerstin Spanhel

JMIR Form Res 2025;9:e65412

Conversion of Sensitive Data to the Observational Medical Outcomes Partnership Common Data Model: Protocol for the Development and Use of Carrot

Conversion of Sensitive Data to the Observational Medical Outcomes Partnership Common Data Model: Protocol for the Development and Use of Carrot

(B) Deidentified data. (C) The OMOP standardized deidentified dataset. OMOP: Observational Medical Outcomes Partnership. Each data partner remains responsible for the management of their data, including generating a pseudonymized and deidentified extract. There are some preprocessing steps that they must perform to use the tool, but we have minimized the workload on each data partner.

Samuel Cox, Erum Masood, Vasiliki Panagi, Calum Macdonald, Gordon Milligan, Scott Horban, Roberto Santos, Chris Hall, Daniel Lea, Simon Tarr, Shahzad Mumtaz, Emeka Akashili, Andy Rae, Esmond Urwin, Christian Cole, Aziz Sheikh, Emily Jefferson, Philip Roy Quinlan

JMIR Res Protoc 2025;14:e60917

Explainable AI for Intraoperative Motor-Evoked Potential Muscle Classification in Neurosurgery: Bicentric Retrospective Study

Explainable AI for Intraoperative Motor-Evoked Potential Muscle Classification in Neurosurgery: Bicentric Retrospective Study

(B) Data representation and the algorithms used on each representation. CNN: convolutional neural network. IONM was performed according to a standardized protocol, as previously described [8,20]. The MEPs were elicited either through transcranial electric stimulation (TES) via corkscrew electrodes or direct cortical stimulation (DCS) via strip electrodes placed directly on the cortex and recorded via needle electrodes in the muscle belly.

Qendresa Parduzi, Jonathan Wermelinger, Simon Domingo Koller, Murat Sariyar, Ulf Schneider, Andreas Raabe, Kathleen Seidel

J Med Internet Res 2025;27:e63937

Differences in Telemedicine Use for Patients With Diabetes in an Academic Versus Safety Net Health System: Retrospective Cohort Study

Differences in Telemedicine Use for Patients With Diabetes in an Academic Versus Safety Net Health System: Retrospective Cohort Study

Predicted probabilities of telemedicine visits with 95% CIs for interactions between health system and (A) age, (B) race and ethnicity, and (C) language preference. Given the significant interactions by health system, we analyzed each system independently.

Jonathan J Shih, Magdalene Kuznia, Sarah Nouri, Elizabeth B Sherwin, Kathryn E Kemper, Anna D Rubinsky, Courtney R Lyles, Elaine C Khoong

J Med Internet Res 2025;27:e64635